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- Creator:
- Hoover, Lindzey V
- Description:
- This study investigated co-occurrence among food addiction (FA), problematic substance use (alcohol, cannabis, cigarettes, nicotine vaping), parental history of problematic alcohol use, and obesity. Participants (n=357) completed self-report measures on food addiction, personal substance use, and parental history of alcohol use. Participants also completed demographic questions and self-reported height and weight were used to calculate BMI. Pearson zero-order correlations were conducted to identify sociodemographic covariates (socioeconomic status, age, and sex at birth). Modified Poisson regression (with robust standard error estimations) were used to estimate risk ratios among food addiction, parental history of problematic alcohol use, personal substance use (alcohol, cannabis, cigarettes, nicotine vaping), and obesity. Significance was set at p<.05. However, given multiple testing, 99% CI estimates are reported in the final manuscript instead of 95% CI estimates. Unadjusted and adjusted (for sociodemographic covariates) analyses were conducted. Risk of food addiction was higher in participants with problematic alcohol, smoking, vaping, parental history of problematic alcohol use, and (in unadjusted only) cannabis use. Risk of food addiction was only higher in participants with obesity after adjusting for covariates. Obesity was not significantly associated with problematic substance use and parental history or problematic alcohol use. Thus, food addiction, but not obesity, co-occurred with problematic substance use and a family history of problematic alcohol use. Results support the conceptualization of food addiction as an addictive disorder.
- Keyword:
- Food Addiction, Substance Use, Obesity, and Family History
- Citation to related publication:
- Hoover, L. V., Yu, H. P., Cummings, J. R., Ferguson, S. G., & Gearhardt, A. N. (2022). Co-occurrence of food addiction, obesity, problematic substance use, and parental history of problematic alcohol use. Psychology of Addictive Behaviors. Advance online publication. DOI: 10.1037/adb0000870
- Discipline:
- Social Sciences
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- Creator:
- Hoover, Lindzey V
- Description:
- This study investigated the mediating role of emotion dysregulation in the association between childhood trauma and food addiction. Participants (n=310) completed self-report measures of food addiction, childhood trauma experiences, emotion dysregulation, and demographic variables. Pearson zero-order correlations were conducted to identify potential covariates. Age, socioeconomic status, BMI, and education were significantly associated with study variables and were included as covariates in analyses. Moderated mediational analyses were used to investigate whether DERS (emotion regulation) mediated the association between the CTQ (childhood trauma) and YFAS2.0 (food addiction) and to explore whether gender identity (men vs women) moderated this association. Emotion dysregulation partially mediated associations between food addiction and childhood trauma. Gender moderated associations between childhood trauma and emotion dysregulation as well as childhood trauma and food addiction. Both moderating pathways were significantly stronger for men compared to women. Results suggest that emotion dysregulation may be an important mediating factor in the association between childhood trauma and food addiction, particularly for men.
- Keyword:
- childhood trauma, food addiction, emotion dysregulation, and gender differences
- Citation to related publication:
- Hoover, L. V., Yu, H. P., Duval, E. R., & Gearhardt, A. N. (2022). Childhood trauma and food addiction: The role of emotion regulation difficulties and gender differences. Appetite. Advance online publication. DOI: 10.1016/j.appet.2022.106137
- Discipline:
- Social Sciences
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- Creator:
- Thomer, Andrea K. , Starks, Joseph R. , Rayburn, Alexandria, and Lenard, Michael
- Description:
- This dataset is the results from qualitatively coding the 76 articles that represent the dataset from our literature review. We categorized papers according to their approach (case study, other research project, position paper), setting (library, museum, research lab), and publication domain (library information science, computer science, domain publication, other). We also coded for the focus of the paper, and whether motivating needs were listed as a reason for migration.
- Citation to related publication:
- Thomer, AK, Starks, JS, Rayburn, A, Lenard, M. Maintaining repositories, databases, and digital collections in memory institutions: an integrative review. Accepted at the 85th Annual Association for Information Science and Technology.
- Discipline:
- Social Sciences
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- Creator:
- Liemohn, Michael W, Adam, Joshua G, and Ganushkina, Natalia Y
- Description:
- Many statistical tools have been developed to aid in the assessment of a numerical model’s quality at reproducing observations. Some of these techniques focus on the identification of events within the data set, times when the observed value is beyond some threshold value that defines it as a value of keen interest. An example of this is whether it will rain, in which events are defined as any precipitation above some defined amount. A method called the sliding threshold of observation for numeric evaluation (STONE) curve sweeps the event definition threshold of both the model output and the observations, resulting in the identification of threshold intervals for which the model does well at sorting the observations into events and nonevents. An excellent data-model comparison will have a smooth STONE curve, but the STONE curve can have wiggles and ripples in it. These features reveal clusters when the model systematically overestimates or underestimates the observations. This study establishes the connection between features in the STONE curve and attributes of the data-model relationship. The method is applied to a space weather example.
- Keyword:
- space physics, statistical methods, and STONE curve
- Citation to related publication:
- Liemohn, M. W., Adam, J. G., & Ganushkina, N. Y. (2022). Analysis of features in a sliding threshold of observation for numeric evaluation (STONE) curve. Space Weather, 20, e2022SW003102. https://doi.org/10.1029/2022SW003102
- Discipline:
- Science
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- Creator:
- Hoffmann, Alex
- Description:
- This data contains 3 magnetometer signals of 4 noise sources. It was created to test a Underdetermined Blind Source Separation algorithm for magnetic signals.
- Keyword:
- Signal Processing, Magnetic Field, Underdetermined Blind Source Separation , UBSS, and BSS
- Discipline:
- Engineering
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- Creator:
- Larson, Joanna G and Weiner, Abraham
- Description:
- This dataset consists of 11 linear external morphological measurements from 1,614 adult frog individuals from 434 species that all naturally occur in the Western Hemisphere. We used these data to investigate patterns of multidimensional morphospace structure in frog assemblages along the latitudinal diversity gradient in the Americas. The measured traits are predictive of adult microhabitat use, diel activity patterns, locomotion, mating habitat, and diet.
- Keyword:
- functional traits, morphology, frog, anura, and amphibian
- Citation to related publication:
- Larson, JG, PO Title, and DL Rabosky. Expansion and packing of frog morphospace along the Western Hemisphere latitudinal diversity gradient revealed by functional traits. In prep
- Discipline:
- Science
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- Creator:
- Brian C. Weeks
- Description:
- Description: Each folder contains all of the data for a specific specimen; the folder names correspond to the University of Michigan Museum of Zoology catalog number for the specimen. Folders with a “-“ in the name are individual specimens that were photographed multiple independent times; the number following the “-“ indicates the repetition number (i.e. the folder named “UMMZ_242382-10” contains the tenth set of photographs for specimen UMMZ 242382). The photographs are necessary to train and test the Skelevision model, which is a computer vision approach to identifying and measuring elements of the skeleton (length of the tibiotarsus, tarsometatarsus, femur, humerus, ulna, radius, carpometacarpus, 2nd digit 1st phalanx, skull, and keel; the outer diameter of the sclerotic ring at its widest point; and the distance from the back of the skull to the tip of the bill). The data span 115 species of passerines across 79 genera from 59 families.
- Keyword:
- Bird skeleton, neural network, and functional traits
- Citation to related publication:
- Weeks, B.C., Zhou, Z., O’Brien, B., Darling, R., Dean, M., Dias, T., Hassena, G., Zhang, M., and Fouhey, D.F. 2022. A deep neural network for high throughput measurement of functional traits on museum skeletal specimens. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210X.13864
- Discipline:
- Science
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- Creator:
- Benjamin Leffel
- Description:
- The three datasets provided here identify the city location of all CDM projects in China by referencing the individual Project Description Documents (via the UNFCCC) attached to each project. Through this method, all 3,764 Clean Development Mechanism projects at the city-level in China are identified out of a total of over 8,000 globally.
- Keyword:
- climate finance, carbon offset, China, urban, clean development mechanism, cities, and climate change
- Citation to related publication:
- https://escholarship.org/uc/item/3vr8850s and https://doi.org/10.1002/wcc.709
- Discipline:
- Government, Politics and Law, Social Sciences, International Studies, and Business
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- Creator:
- Bressler, Alison and Blesh, Jennifer
- Description:
- This dataset contains three data files and three corresponding metadata files used in Bressler, A., and J. Blesh. 2022. Episodic N2O emissions following tillage of a legume-grass cover crop mixture. Biogeosciences. The file “Cover_crop_soil_N2O.xls” contains data organized by site, replicate block, and treatment for spring cover crop biomass, nitrogen and carbon content, and legume BNF; soil fertility characteristics including potentially mineralizable nitrogen, particulate organic matter stocks, concentrations, and nitrogen content; and cumulative nitrous oxide data. The file “Soil_properties.xls” contains baseline soil data organized by site and replicate block. The file “Daily_N2O.xls” contains daily nitrous oxide data organized by site, replicate block, treatment, and date. The corresponding metadata files: “Cover_crop_soil_N2O_metadata.xls”, and “Soil_properties_metadata.xls”, and “Daily_N2O_metadata.xls” provided detailed descriptions of all variables in each data set and any abbreviations used.
- Keyword:
- cover crops, legume-grass mixtures, nitrous oxide, particulate organic matter, soil organic matter.
- Citation to related publication:
- Bressler, A., and J. Blesh. 2022. Episodic N2O emissions following tillage of a legume-grass cover crop mixture. Biogeosciences.
- Discipline:
- Science
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- Creator:
- Cody H. Pham, Jason M. Tallant, J. Jordan Price, and David N. Karowe
- Description:
- Anthropogenic climate change will dramatically alter species distributions. The rate and magnitude of range shifts, however, will differ among taxa, resulting in altered patterns of co-occurrence and interspecific interactions. We examined potential climate-mediated breeding range shifts among North American wood-warblers (Parulidae), a speciose avian family likely to be especially impacted by such changes. We used publicly available species distribution model (SDM) range outputs to compare current ranges and patterns of sympatry among warbler species to future ranges and sympatry under 1.5 °C, 2.0 °C, and 3.0 °C of average global warming. We used these outputs to calculate average breeding range area, range overlap among species, number of sympatric species, and distances of breeding range shifts. We additionally calculated the number gained and lost sympatric interactions under each warming scenario.
- Keyword:
- wood-warbler, University of Michigan Biological Station (UMBS), Research Experience for Undergraduates (REU), climate change, interspecific, range shift, species distribution models, sympatric, and student-friendly
- Discipline:
- Science